Features Map convolutional neural network
Since the kernel size is limited. A feature can encompass more than 3 pixels or say 5 pixels, for that we cannot find it in 1 layer. So by adding 2 layers and having an activation function that is not like a step function which you would prefer, we extend the feature to 5 or 9 pixels. And with n layers, a feature covering 2n+1, or 4n+1 can be seen.

PS. You have some spelling errors. Take your time to frame well. Welcome!